text model comparison
Gemini 3.8 Flash vs Kimi K3
Gemini 3.8 Flash and Kimi K3 are both current text models, from Google and Moonshot Kimi. Gemini 3.8 Flash is 75% cheaper per 1M input tokens than Kimi K3, $0.75 vs $3. On Arena Text, Gemini 3.8 Flash scores 1497 Elo and Kimi K3 1488 Elo (Arena, measured October 8, 2026). Both accept 1,048,576 tokens of context.
Data verified October 12, 2026 · Dataset 2026-10-12
Side by side
Standard-tier prices in effect today. The better value in each row is highlighted.
| Fact | Gemini 3.8 Flash | Kimi K3 |
|---|---|---|
| Price per 1M input tokens | $0.75 (better) | $3 |
| Price per 1M output tokens | $3.75 (better) | $15 |
| Cost of 10M input and 2M output tokens | $15 (better) | $60 |
| Arena Text | 1497 Elo (#4 of 39) (better) | 1488 Elo (#7 of 39) |
| GPQA Diamond | 95.4% (#3 of 37) (better) | 93.1% (#15 of 37) |
| FrontierMath Tiers 1-3 (v2) | 68.4% (#21 of 37) | 72.2% (#19 of 37) (better) |
| SimpleQA Verified | 69.7% (#7 of 34) (better) | 50.6% (#18 of 34) |
| Provider | Moonshot Kimi | |
| Release date | September 2, 2026 | July 16, 2026 |
| Access | API only | API and open weights |
| Context window | 1,048,576 tokens | 1,048,576 tokens |
| Max output | 65,536 tokens | Not reported |
| Input | text, image, audio, video | text, image |
| Output | text | text |
When to choose each
Gemini 3.8 Flash
Best for
- High-volume agentic and coding workloads where per-token cost dominates the decision
- Multimodal pipelines that need audio, video and PDF input in one model
Watch out for
- The listed price is promotional and ends 31 December 2026; on 1 January 2027 input and output both double, to $1.50 and $7.50, and cached input goes from $0.075 to $0.15
- Output pricing is billed inclusive of thinking tokens, so reasoning-heavy prompts cost more than the output length suggests
- Google’s published comparisons are against its own previous Flash release and were not independently reproduced here
Kimi K3
Best for
- Teams that want a frontier-scale model they can also self-host, with one architecture across both paths
- Long-context work at mid-tier hosted pricing
Watch out for
- Hosted rates match Claude Sonnet 5 exactly at $3 / $15 while offering a larger context window, so the comparison turns on capability rather than price
- Running the open weights shifts cost to infrastructure, which the token rates recorded here do not represent
- Moonshot’s self-reported results place it ahead of Claude Opus 4.8 and GPT-5.5 but behind Claude Fable 5 and GPT-5.6 Sol; none of this was reproduced independently here
Gemini 3.8 Flash vs Kimi K3 FAQ
Which is cheaper, Gemini 3.8 Flash or Kimi K3?
Gemini 3.8 Flash is 75% cheaper per 1M input tokens than Kimi K3, $0.75 vs $3. For 10M input and 2M output tokens, Gemini 3.8 Flash costs $15 and Kimi K3 $60 at standard rates.
Which scores higher on independent benchmarks, Gemini 3.8 Flash or Kimi K3?
Gemini 3.8 Flash leads on Arena Text, 1497 Elo to 1488 Elo; Gemini 3.8 Flash leads on GPQA Diamond, 95.4% to 93.1%; Kimi K3 leads on FrontierMath Tiers 1-3 (v2), 72.2% to 68.4%. Scores are independent evaluations, not either vendor's launch figures.
Which has the larger context window, Gemini 3.8 Flash or Kimi K3?
Both accept 1,048,576 tokens of context.
Can I run Gemini 3.8 Flash or Kimi K3 myself?
Kimi K3 is released as open weights you can run yourself; Gemini 3.8 Flash is available through its provider's API only.
Related comparisons
- Claude Opus 4.8 vs Gemini 3.8 Flash
- Claude Opus 4.8 vs Kimi K3
- Claude Opus 5.5 vs Gemini 3.8 Flash
- Claude Opus 5.5 vs Kimi K3
- Claude Opus 5 vs Gemini 3.8 Flash
- Claude Opus 5 vs Kimi K3
- Claude Sonnet 5.5 vs Gemini 3.8 Flash
- DeepSeek-V4.1-Flash vs Gemini 3.8 Flash
- Gemini 3.6 Flash vs Gemini 3.8 Flash
- Gemini 3.7 Flash vs Gemini 3.8 Flash
Production evaluation
Choosing between Gemini 3.8 Flash and Kimi K3?
Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- A head-to-head evaluation on your real workload
- Routing between models by cost and difficulty
